Triple

T16961066
Position Surface form Disambiguated ID Type / Status
Subject LANPERU E411427 entity
Predicate predecessorBrandContext P1501 FINISHED
Object LAN Airlines E123604 NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: LAN Airlines | Statement: [LANPERU, predecessorBrandContext, LAN Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LAN Airlines
Context triple: [LANPERU, predecessorBrandContext, LAN Airlines]
  • A. LAN Airlines chosen
    LAN Airlines was a major Chilean airline that became one of Latin America’s largest carriers before merging into the LATAM Airlines Group.
  • B. ATA Airlines
    ATA Airlines is an Iranian airline that operates domestic and regional flights, using Mehrabad International Airport in Tehran as one of its main bases.
  • C. Sky Airline
    Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
  • D. PAL Airlines
    PAL Airlines is a Canadian regional airline that operates passenger and cargo flights primarily throughout Newfoundland and Labrador and other parts of eastern Canada.
  • E. TAG Airlines
    TAG Airlines is a Guatemalan regional airline that operates passenger and charter flights across Central America and nearby destinations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: predecessorBrandContext
Context triple: [LANPERU, predecessorBrandContext, LAN Airlines]
  • A. successorBrandScope
    Indicates that one brand has replaced or followed another brand in scope, such as in market presence, ownership, or official continuity.
  • B. formerBrand chosen
    Indicates that an entity was previously used or recognized as a brand for another entity but is no longer its current brand.
  • C. predecessorTitleContext
    Indicates that the relationship specifies the contextual circumstances (such as role, period, or setting) under which a predecessor’s title is relevant or applies.
  • D. predecessorFranchise
    Indicates that one franchise directly precedes and is succeeded by another franchise in a series or lineage.
  • E. successorBranding
    Indicates that one brand has replaced or continued another brand as its subsequent or updated identity.
  • F. None of above.

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0209a9081909d9c62456bc16e14 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46ad58c8190be9f0b36daba8162 completed May 10, 2026, 6:54 p.m.
PD Predicate disambiguation batch_69e32b9cddf88190bc42709604047353 completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:31 a.m.